Biomarkers of An Autoimmune Skin Disease-Psoriasis

Shan Jiang, Taylor E. Hinchliffe, Tianfu Wu

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

Psoriasis is one of the most prevalent autoimmune skin diseases. However, its etiology and pathogenesis are still unclear. Over the last decade, omics-based technologies have been extensively utilized for biomarker discovery. As a result, some promising markers for psoriasis have been identified at the genome, transcriptome, proteome, and metabolome level. These discoveries have provided new insights into the underlying molecular mechanisms and signaling pathways in psoriasis pathogenesis. More importantly, some of these markers may prove useful in the diagnosis of psoriasis and in the prediction of disease progression once they have been validated. In this review, we summarize the most recent findings in psoriasis biomarker discovery. In addition, we will discuss several emerging technologies and their potential for novel biomarker discovery and diagnostics for psoriasis.

Original languageEnglish (US)
Article number162
Pages (from-to)224-233
Number of pages10
JournalGenomics, Proteomics and Bioinformatics
Volume13
Issue number4
DOIs
StatePublished - Aug 1 2015

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Biomarkers
Psoriasis
Skin Diseases
Skin
Autoimmune Diseases
Signaling Pathways
Proteome
Progression
Diagnostics
Genome
Genes
Technology
Proteins
Metabolome
Prediction
Transcriptome
Disease Progression

Keywords

  • Biomarker
  • Genomics
  • Metabolomics
  • Proteomics
  • Psoriasis

ASJC Scopus subject areas

  • Genetics
  • Molecular Biology
  • Biochemistry
  • Computational Mathematics

Cite this

Biomarkers of An Autoimmune Skin Disease-Psoriasis. / Jiang, Shan; Hinchliffe, Taylor E.; Wu, Tianfu.

In: Genomics, Proteomics and Bioinformatics, Vol. 13, No. 4, 162, 01.08.2015, p. 224-233.

Research output: Contribution to journalArticle

Jiang, Shan ; Hinchliffe, Taylor E. ; Wu, Tianfu. / Biomarkers of An Autoimmune Skin Disease-Psoriasis. In: Genomics, Proteomics and Bioinformatics. 2015 ; Vol. 13, No. 4. pp. 224-233.
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